Software Engineer – MLOps Technology
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Software Engineer responsible for MLOps technology at BMO, focusing on software development lifecycle and system designs. Collaborating with functional teams to translate user requirements into technical specifications.
Responsibilities:
- Drives the overall software development lifecycle including working across functional teams
- Translating user requirements into technical specifications
- Writing code and managing the preparation of design specifications
- Supports system design and advises on security requirements
- Ensures that code/configurations adhere to security and performance standards
- Evaluates new technologies and their impacts on processes
Requirements:
- 3 - 5 years of relevant experience
- Post-secondary degree in related field of study or an equivalent combination of education and experience
- Must have experience in Python
- Nice to have experience in stats models, scipy, numpy, AWS, AWS sage maker environment, GitHub, testing mindset
Benefits:
- Health insurance
- Tuition reimbursement
- Accident and life insurance
- Retirement savings plans
- Performance-based incentives
- Discretionary bonuses
Similar Jobs
AI – Machine Learning Engineer
AI / Machine Learning Engineer developing and deploying ML and GenAI capabilities into applications remotely. Collaborating with product and data teams in a remote environment in the United States.
Senior Machine Learning Engineer – Generative AI, Full-Stack Applications
Senior Machine Learning Engineer at CVS Health delivering AI-powered platforms. Responsible for solution design and engineering practices in a collaborative environment.
Senior Machine Learning Engineer
Senior Machine Learning Engineer building real-time AI to detect disinformation. Own production ML from model to deployment, collaborating with engineers and analysts.
Senior ML Engineer
Own and operate recommendation systems for a high-scale B2B marketing platform. Contributing to ML systems, enhancing consumer data processing with direct revenue impact.
Lead Machine Learning Engineer, Lifetime Value
Lead Machine Learning Engineer at Root enhancing customer lifetime value modeling systems using machine learning. Collaborating with data scientists and business teams to optimize ML systems for insurance solutions.
Machine Learning Scientist
Machine Learning Scientist developing and applying computational protein design solutions for Amgen's R&D. Collaborating with scientists to implement machine learning in therapeutic biomolecules.
Computer Vision, Machine Learning Engineer
Computer Vision & Machine Learning Engineer for Data Meaning working on AI-driven video analytics initiatives in retail environments. Focus on operational efficiency, safety monitoring, and real-time detection systems.
MLOps Engineer – Hourly and Full time
Senior ML Engineer guiding ML pipelines and model serving infrastructure for an international client. Strong data engineering foundation and hands-on MLOps experience required.
Architect / Principal, AI ML Engineer
AI/ML Architect at 3Pillar setting the technical direction for scalable AI solutions across multiple domains. Evaluating technologies and aligning AI initiatives with business goals and standards.
Architect / Principal, AI ML Engineer
AI/ML Architect directing AI initiatives and aligning them with business goals in a tech-focused environment.
Principal Machine Learning Engineer – LLM Fine-tuning, Optimization
Principal Machine Learning Engineer fine-tuning LLMs and optimizing models at Airbnb. Collaborating with cross-functional teams in AI products development.
Principal Machine Learning Engineer
Principal Machine Learning Engineer designing ML models and backend services at Toast. Build internal tools leveraging AI to enhance sales processes for restaurants.
Senior Machine Learning Engineer, AI Generation Engine
Senior Machine Learning Engineer developing AI solutions utilizing ML lifecycle and LQMs at SandboxAQ. Collaborating with diverse teams to build and evaluate cutting-edge AI products.
Senior MLOps Engineer
Engenheiro(a) de MLOps em Campinas trabalhando com GenAI e agentes em produção. Executando operações padrões e monitorando sistemas de IA para garantir confiabilidade e performance.
Senior ML, MLOps Engineer
Senior ML / MLOps Engineer at CDW developing scalable machine learning solutions on the Databricks platform. Collaborating with teams to ensure reliable, governed ML workflows in a remote setting.
Principal Machine Learning Engineer
Principal Machine Learning Engineer developing and improving TTS and Voice Generation models at Acclaim. Collaborating across research, engineering, and product to drive technical direction and ML best practices.
Machine Learning Engineer, LLM, Agentic AI
Senior Machine Learning Engineer designing and leading implementation of ML and LLM systems for enterprise clients in production. Focused on architecting scalable AI solutions and mentoring teams.
ML Engineer
Studio Domain ML Engineer at Paramount developing applied machine learning technologies for entertainment production environments. Ensuring new technologies meet professional production standards and usability.
Principal Machine Learning Engineer
Principal Machine Learning Engineer developing software for the logistics industry at C.H. Robinson. Collaborating with data scientists to improve supply chain solutions using advanced algorithms.
Principal Engineer – GenAI Applications, MLOps
Principal Engineer leading the Machine Learning Team at Weave, enabling AI feature development and infrastructure design. Focus on building scalable ML systems for healthcare communication.